Abstract : In the past few years, the integration of technology within education has been emerging intensively. It has become conventional for higher educators to implement learning management systems (LMS) in several ways that had been formerly seen in a few educational institutes. This article collects data from LMS to see how data analytics can play a role in education by focusing on the success opportunities and restrictions of graduates. In the framework of LMS utilization, students have gained insights throughout their registrations. The aim is to explore the role of data analytics in the field of education. By implementing the LMS, students have gained informative knowledge during their enrollment. Within this specific context, the data pertaining to the learners' footprints, enrollment patterns, and degree of accomplishment has been systematically documented in an electronic fashion. By employing survival analysis on this dataset, we may predict the future accomplishments of the students and anticipate their progress. The results show that psychology is one of the areas that the institution should provide as a remedial class for all master students in order to increase their success rate. Besides, the findings can aid educators in enhancing the standard of instruction and learning by reinforcing extracurricular activities that are specifically designed to assist and rectify graduates who are underperforming. The analytical results can be utilized to bolster the development of a forward-thinking curriculum, aimed at improving the quality of education by creating essential introductory courses. Ultimately, educators possess the capacity to align their teaching methods with all available analytical data in order to enhance their instructional tactics.